20 beste Stellen als data science energy in berlin – aktuell auf Personalsuche

Chemical Data Scientist
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Datenanalyse
- Master
Direkt bewerben
Student Assistant for Agroforestry Research & Digital Tools (SustAgri Project) (m/f/d)
Reiner Lemoine Institut gGmbH —Berlin
- 15,50 € pro Stunde
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Master
- Bachelor
10 Tage
Supplier Quality Data and Digitalization Expert (f/m/d)
Siemens Energy —Berlin
- Vollzeit
- Informatik
- Master
- Bachelor
5 Tage
Intern Business Process & Data Analyst (f/m/d)
Digital Charging Solutions GmbH —Berlin
- Vollzeit
- Master
- Datenbanken
- SQL
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
Internship in the field of energy economics/energy policy (3-6 months)
Montel —Berlin
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Principal Machine Learning Scientist (all genders)
Bayer —Berlin
- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
- Machine Learning
- Künstliche Intelligenz
Werkstudent / Working Student – Public Sector (Energy & Climate Focus)
Guidehouse —Berlin
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin
Oliver Wyman —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Englisch
- Master
Oliver Wyman - Data & Analytics - (Associate) Team Leader/ Director (m/d/f)
Oliver Wyman —Berlin
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Master
- SQL
Team Lead Data Science (f/m/x)
Enpal —Berlin
- Vollzeit
- Azure
- Informatik
- Forschungserfahrung
Direkt bewerben
14 Tage
Werkstudent / Working Student – Public Sector (Energy & Climate Focus)
Guidehouse Germany GmbH —Berlin
- Teilzeit
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Working Student Data Analysis (m/f/d)
1Komma5Grad —Berlin
- Teilzeit
- Wirtschaft
Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin
Oliver Wyman —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
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Regulatory Toxicologist (all genders)
Bayer —Berlin
- 109.800 € – 138.500 € pro Jahr
- Teilzeit
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10 Tage
Director Scientific Competitive Intelligence & Insights - Oncology (all genders)
Bayer —Berlin
- 109.800 € – 138.500 € pro Jahr
- Teilzeit
- Doktorat
- Englisch
- Künstliche Intelligenz
Plasma Process & Equipment Engineer (m/f/d)
TE Connectivity —Berlin
- Datenanalyse
- Windows
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Staff UX Product Researcher - Route Discovery & Navigation
Strava —Berlin
- 130.000 € – 140.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- Kommunikationsfähigkeit
- Analytik
Finance Digitalization Expert (f/m/d)
Siemens Energy —Berlin
- Teilzeit
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- Master
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11 Tage
Software developer
KT-Elektronik —Berlin
- Informatik
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Oliver Wyman | (Senior) Delivery Lead Specialist (m/f/d) | Data & Analytics | Germany
Oliver Wyman —Berlin
- Vollzeit
- Hybrides Arbeiten
- Management-Erfahrung
- PMP
- Unternehmensentwicklung
13 Tage

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Chemical Data Scientist

Dunia Innovations GmbH
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
NumPy
Datenanalyse
MongoDB
Master
Datenbanken
Python

Vollständige Stellenbeschreibung

Your mission

Turn Dunia's experimental output into an understanding that drives better decisions
Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline.

We run high-throughput experiments, simulations, and ML-driven optimization loops. The hardest problem is not generating data, and as our lab throughput increases, so does our data output. It is knowing what that data actually means.

As Chemical Data Scientist, you will sit at the center of Dunia’s discovery loop. You will be the person who spots the signal from the noise, and whether a trend is real or misleading. You will ensure that the organization, its systems and models are actually learning.

This role is about judgment as much as analysis. You will shape how experimental evidence flows into models, simulations, and decisions, and in doing so, how fast and how well Dunia discovers new materials.

Your tasks will include:

Be the scientific sense-maker

Interrogate data from ongoing electrocatalyst campaigns
Identify patterns, anomalies, and failure modes that others miss
Develop intuition for where experiments lie, and where they tell the truth

Close the loop between matter and models

Decide which experimental signals should inform ML feature design
Decide which experimental signals and discrepancies are important enough to merit computational explanation.
Give lab and automation teams concrete feedback on experimental quality and design

Make learning compound, not fragment

Create clear, concise digests that align the entire team on what was learned
Track how understanding evolves across campaigns, not just within them
Raise the bar for how scientific progress is communicated internally

Influence the system, not just the analysis

Shape data pipelines and analytical views by using them aggressively
Help define what “analysis-ready” data actually meansin practice
Ensure infrastructure evolves aroundreal scientific workflows, not abstractions

Your profile

Master's or PhD in chemistry, electrochemistry, materials science, or a related field
3–6 years of experience working with experimental or computational data in a research or R&D context (post-Master's; fewer years post-PhD is fine)
Strong Python skills and comfort with data analysis tooling (pandas, NumPy, scikit-learn, etc.)
Familiarity with electrochemistry or energy materials; you should have intuition for what experimental artifacts look like and which trends are chemically meaningful
Clear technical communication: you can write a summary that a lab scientist, an ML engineer, and a program manager can all use
Bonus: exposure to tools like RDKit, pymatgen, or ASE; familiarity with MongoDB or similar databases
English fluency

About us

Dunia, meaning “world” in over 20 languages, reflects our focus on building technologies that deliver abundance globally. By combining physics, AI, and automation, we accelerate materials discovery for next-generation energy and industrial systems. Our work helps make energy more accessible and materials more affordable and resilient while reshaping how science moves from idea to impact. Join us to work on problems where progress truly compounds.

Need more convincing? -> Watch this video

We strive to create a diverse and inclusive workplace where everyone feels welcome and safe to be their authentic self. Non-traditional career paths are welcome and valued. If you share our vision, you can be certain that we want you to succeed. You might be just the right candidate for this or for other roles that have not opened yet.

Reach out, and follow us on LinkedIn!

Direkt bewerben

Erweiterte Suche

data science energy Jobs in berlin

Chemical Data Scientist

Student Assistant for Agroforestry Research & Digital Tools (SustAgri Project) (m/f/d)

Supplier Quality Data and Digitalization Expert (f/m/d)

Intern Business Process & Data Analyst (f/m/d)

Internship in the field of energy economics/energy policy (3-6 months)

Principal Machine Learning Scientist (all genders)

Werkstudent / Working Student – Public Sector (Energy & Climate Focus)

Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin

Oliver Wyman - Data & Analytics - (Associate) Team Leader/ Director (m/d/f)

Team Lead Data Science (f/m/x)

Werkstudent / Working Student – Public Sector (Energy & Climate Focus)

Working Student Data Analysis (m/f/d)

Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin

Regulatory Toxicologist (all genders)

Director Scientific Competitive Intelligence & Insights - Oncology (all genders)

Plasma Process & Equipment Engineer (m/f/d)

Staff UX Product Researcher - Route Discovery & Navigation

Finance Digitalization Expert (f/m/d)

Software developer

Oliver Wyman | (Senior) Delivery Lead Specialist (m/f/d) | Data & Analytics | Germany

Ich möchte aktuelle Job-E-Mails für Stellen als data science energy in berlin erhalten

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